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Detecting and resolving errors in coding and data entry.
Consists of editing, coding, data entry, and data cleaning.
The value or category in a distribution with the highest frequency.
Examples are Cramer’s phi and the correlation coefficient.
Documentation for a data file that usually contains the question wording and responses codes for each variable.
A graphic display of a univariate distribution.
The middle value in a distribution.
Indicates how much the dependent variable changes for every one-unit increase in the independent variable.
The numerical difference between an observed value and the value predicted by the regression line.
Shows whether the association in a contingency table is statistically significant.
Replacing missing values in data analysis by estimating values from the available data.
Graphic depiction of a bivariate distribution.